H11M:
Data Integration, Inverse Methods, and Data Valuation across a Range of Scales in Hydrogeophysics I


Session ID#: 10643

Session Description:
By combining hydrologic and geophysical information, hydrogeophysical methods provide “added value” for environmental characterization that can be used to improve understanding of hydrologic environments, reduce uncertainty in relevant hydrologic parameters, and increase the predictive accuracy of hydrologic models. This session seeks contributions that demonstrate or improve upon methods for integrating hydrologic and geophysical data. Topics of interest include, but are not limited to: hydrogeophysical experimental design; applications of coupled hydrogeophysical modeling; data processing and data reduction schemes; evaluation of data errors and uncertainties across multiple data types; novel approaches to coupled or joint inversion; methods for evaluating uncertainty reduction; and methods for evaluation of hydrogeophysical data worth.
Primary Convener:  Michael A Cardiff, University of Wisconsin Madison, Geoscience, Madison, WI, United States
Conveners:  Mine Dogan, University of Wyoming, Laramie, WY, United States, Anja Klotzsche, Forschungszentrum Jülich GmbH, Agrosphere (IBG-3), Institute of Bio- and Geosciences, Jülich, Germany and Abderrahim Jardani, University of Rouen, Mont-Saint-Aignan Cedex, France
Chairs:  Michael A Cardiff, University of Wisconsin Madison, Geoscience, Madison, WI, United States and Anja Klotzsche, Forschungszentrum Jülich GmbH, Agrosphere (IBG-3), Institute of Bio- and Geosciences, Jülich, Germany
OSPA Liaison:  Mine Dogan, University of Wyoming, Laramie, WY, United States

Cross-Listed:
  • NS - Near Surface Geophysics
Index Terms:

1829 Groundwater hydrology [HYDROLOGY]
1835 Hydrogeophysics [HYDROLOGY]
1849 Numerical approximations and analysis [HYDROLOGY]
1873 Uncertainty assessment [HYDROLOGY]

Abstracts Submitted to this Session:

Soil hydrodynamic parameter determination using Ground-Penetrating Radar monitoring (63162)
Emmanuel Leger, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Inference of Fractured Rock Transport Properties by Joint Inversion of Push-Pull and Single-Hole Ground Penetrating Radar Data (67146)
Alexis Shakas1, Niklas Linde1, Olivier Bour2 and Tanguy Le Borgne3, (1)University of Lausanne, Lausanne, Switzerland, (2)Univ Rennes, CNRS, Géosciences Rennes, UMR 6118, Rennes, France, (3)University of Rennes 1, Géosciences Rennes UMR 6118, Rennes, France
GPR waveguide and full-waveform inversion for the hydrogeophysical characterization of soils and aquifers (Invited) (80117)
Jan Van Der Kruk1, Adam R Mangel2, Nils Gueting3, Sebastian Busch4, Anja Klotzsche3, Stephen M Moysey5, Johan Alexander Huisman6 and Harry Vereecken7, (1)Agrosphere Institute (IBG-3), Forschungszentrum Jülich, Jülich, Germany, (2)Pacific Northwest National Laboratory, Richland, WA, United States, (3)Agrosphere Institute (IBG-3) Forschungszentrum Jülich, Deutschland, Germany, (4)Forschungszentrum Jülich, Jülich, Germany, (5)Clemson University, Environmental Engineering and Earth Sciences, Clemson, United States, (6)Forschungszentrum Jülich, Agrosphere (IBG 3), Jülich, Germany, (7)Geoverbund ABC/J, Centre for High-Performance Scientific Computing in Terrestrial Systems (TerrSys), Jülich, Germany
Getting to the Root of the Problem - Assessing Crop Water Uptake Using Geophysics (72731)
Andrew M. Binley1, Peter W Shanahan1, Christopher W Watts2, Rhys Ashton2 and W Richard Whalley2, (1)University of Lancaster, Lancaster, United Kingdom, (2)Rothamsted Research, Harpenden, United Kingdom
Karst system vadose zone hydrodynamics highlighted by an integrative geophysical and hydrogeological monitoring (58937)
Arnaud Watlet1, Michel J. Van Camp2, Olivier Francis3, Amaël Poulain4, Vincent Hallet4, Gaëtan Rochez4 and Olivier Kaufmann1, (1)Université de Mons, Mons, Belgium, (2)Royal Observatory of Belgium, Brussels, Belgium, (3)University of Luxembourg, Luxembourg, Luxembourg, (4)Université de Namur, Department of Geology, Namur, Belgium
Value of Information: Comparing Surface-Wave Dispersion Curves Estimated from Conventional Seismometers Versus Distributed Acoustic Sensing (Invited) (66501)
Whitney Trainor Guitton1, Chelsea Lancelle2, Herbert F Wang2, Kurt L Feigl3 and PoroTomo, (1)Colorado School of Mines, Geophysics, Golden, CO, United States, (2)University of Wisconsin Madison, Madison, WI, United States, (3)University of Wisconsin, Geoscience, Madison, United States
The Art of Tomographic Tracer Tests (Invited) (59975)
Olaf A. Cirpka1, Carsten Leven2, Kennedy O Doro2 and Eduardo Emilio Sanchez-Leon2, (1)University of Tübingen, Tübingen, Germany, (2)University of Tübingen, Center for Applied Geosciences, Tübingen, Germany
Likelihood-Informed Dimension Reduction for Bayesian Inverse Problems (Invited) (80016)
Tiangang Cui, Massachusetts Institute of Technology, Cambridge, MA, United States; ExxonMobil Upstream Research Company, Houston, TX, United States

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